Pinned

1. texture-vs-shape Public

   Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

   R 694 93

2. bethgelab/model-vs-human Public

   Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)

   Python 225 20

3. Stylized-ImageNet Public

   Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)

   Python 441 59

4. bethgelab/robust-detection-benchmark Public

   Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

   Jupyter Notebook 159 24

5. generalisation-humans-DNNs Public

   Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)

   R 86 19

6. academic-cv-publications Public

   Generate a customised list of publications for your LaTeX CV using BibTeX entries.

   TeX 67 13